Ziqiang Li

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024
Predictive value of metabolic parameters and apparent diffusion coefficient derived from 18F-FDG PET/MR in patients with non-small cell lung cancer.
BMC Medical Imaging, December, 2024

SPD-YOLOv8: an small-size object detection model of UAV imagery in complex scene.
J. Supercomput., August, 2024

Parameter-free fiber coupling method for inter-satellite laser communications based on Gaussian approximation.
J. Opt. Commun. Netw., March, 2024

Maximum Load Consumption Capacity Maintenance of Distributed Storage Devices Based on Time-Varying Neurodynamic Algorithm.
J. Circuits Syst. Comput., 2024

Assessing Risks in Cross-Regional Tourism Corridors: A Case Study of Tibetan Plateau Tourism.
ISPRS Int. J. Geo Inf., 2024

Scene Graph Disentanglement and Composition for Generalizable Complex Image Generation.
CoRR, 2024

Closed-Loop Unsupervised Representation Disentanglement with β-VAE Distillation and Diffusion Probabilistic Feedback.
CoRR, 2024

Diffusion model for relational inference.
CoRR, 2024

Two-stream joint matching method based on contrastive learning for few-shot action recognition.
CoRR, 2024

DAT: Dialogue-Aware Transformer with Modality-Group Fusion for Human Engagement Estimation.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Designing Network Topologies of Multiple Reservoir Echo State Networks: A Genetic Algorithm Based Approach.
Proceedings of the International Joint Conference on Neural Networks, 2024

2023
A RGB-Thermal based adaptive modality learning network for day-night wildfire identification.
Int. J. Appl. Earth Obs. Geoinformation, December, 2023

Cross-Modality Channel Mixup and Modality Decorrelation for RGB-Infrared Person Re-Identification.
IEEE Trans. Biom. Behav. Identity Sci., October, 2023

Multi-Reservoir Echo State Networks with Hodrick-Prescott Filter for nonlinear time-series prediction.
Appl. Soft Comput., March, 2023

DILRS: Domain-Incremental Learning for Semantic Segmentation in Multi-Source Remote Sensing Data.
Remote. Sens., 2023

Clarity Method of Low-illumination and Dusty Coal Mine Images Based on Improved Amef.
Informatica (Slovenia), 2023

Dynamical Graph Echo State Networks with Snapshot Merging for Dissemination Process Classification.
CoRR, 2023

Multimodal Feature Extraction and Fusion for Emotional Reaction Intensity Estimation and Expression Classification in Videos with Transformers.
CoRR, 2023

Multi-map Collaborative Exploration toward Large-Scale 3D Mapping Using UAV <sup>*</sup>.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2023

Analysis and Optimization of Energy Balancing Control Strategies for Cascaded Multilevel Energy Storage Inverter.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

GPR-Net:Geometric Dynamic Graph Convolutional Neural Network for Low Overlap Point Cloud Registration.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

Dynamical Graph Echo State Networks with Snapshot Merging for Spreading Process Classification.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

An Echo State Network-Based Method for Identity Recognition with Continuous Blood Pressure Data.
Proceedings of the Artificial Neural Networks and Machine Learning, 2023

Multimodal Feature Extraction and Fusion for Emotional Reaction Intensity Estimation and Expression Classification in Videos with Transformers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Optical Fiber Bundle-Based High-Speed and Precise Micro-Scanning for Image High-Resolution Reconstruction.
Sensors, 2022

Research on the Rotational Correction of Distributed Autonomous Orbit Determination in the Satellite Navigation Constellation.
Remote. Sens., 2022

Multi-reservoir echo state networks with sequence resampling for nonlinear time-series prediction.
Neurocomputing, 2022

Forcing the Whole Video as Background: An Adversarial Learning Strategy for Weakly Temporal Action Localization.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

A Novel Voltage Balancing Method of Cascaded H-bridge Multilevel Converter With Supercapacitors Energy Storage System for Capacitor Voltage Ripple Reduction.
Proceedings of the IECON 2022, 2022

2021
Deep feature enhancing and selecting network for weakly supervised temporal action localization.
J. Vis. Commun. Image Represent., 2021

Learning Embeddings Based on Global Structural Similarity in Heterogeneous Networks.
IEEE Intell. Syst., 2021

A Multi-Reservoir Echo State Network with Multiple-Size Input Time Slices for Nonlinear Time-Series Prediction.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Context Driven Network with Bayes for Weakly Supervised Temporal Action Localization.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

A Biased Random Key Heuristic Genetic Approach for the Payload Packing Design of A Satellite Module.
Proceedings of the 24th IEEE International Conference on Computer Supported Cooperative Work in Design, 2021

2020
Robust Fusion Estimation for Multisensor Uncertain Systems With State Delay Based on Data-Driven Communication Strategy.
IEEE Access, 2020

A Robust State Estimator for T-S Fuzzy System.
IEEE Access, 2020

Deep Echo State Networks with Multi-Span Features for Nonlinear Time Series Prediction.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

HP-ESN: Echo State Networks Combined with Hodrick-Prescott Filter for Nonlinear Time-Series Prediction.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Deep Selective Feature Learning for Action Recognition.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

2019
A Novel Gaussian-Bernoulli Based Convolutional Deep Belief Networks for Image Feature Extraction.
Neural Process. Lett., 2019

FineLocator: A novel approach to method-level fine-grained bug localization by query expansion.
Inf. Softw. Technol., 2019

2016
A hybrid multi-mechanism optimization approach for the payload packing design of a satellite module.
Appl. Soft Comput., 2016

Gaussian-Bernoulli Based Convolutional Restricted Boltzmann Machine for Images Feature Extraction.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

2014
A two stages sparse SVM training.
Int. J. Mach. Learn. Cybern., 2014

Training sparse SVM on the core sets of fitting-planes.
Neurocomputing, 2014

2013
A divide-conquer quasi-physical and quasi-human algorithm for the circle and rectangle orthogonal packing problem with equilibrium constraints.
Proceedings of the Ninth International Conference on Natural Computation, 2013

A heuristic ant colony approach for the circle and rectangle packing problems with rotary inertia constraints.
Proceedings of the Ninth International Conference on Natural Computation, 2013

2012
Overlapping Area Computation between Irregular Polygons for Its Evolutionary Layout Based on Convex Decomposition.
J. Softw., 2012

A Multi-scale Three-Dimensional Variational Scheme Based on Diffusion Filter.
Proceedings of the Fifth International Joint Conference on Computational Sciences and Optimization, 2012

2010
Heuristic Evolutionary Approach for Weighted Circles Layout.
Proceedings of the Information and Automation - International Symposium, 2010

2008
An Effective Approach for Multi-Rectangle Detection.
Proceedings of the 9th International Conference for Young Computer Scientists, 2008

2005
Cooperative Co-evolutionary Differential Evolution for Function Optimization.
Proceedings of the Advances in Natural Computation, First International Conference, 2005


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